Dr. Arindam Das (PhD in Computer Science, York University, Toronto, Canada)

Welcome to my webpage!

I am interested in the effects of human learning. My current research interest lies in finding out how human learning impacts the performance of distributed systems that involve human interaction through graphical user interfaces.

Earlier, based on the ACT-R theory of human cognition, I had developed a computational model that provides insight into how much practice is needed by a human to progress from novice to expert level in learning a user interface layout. I had also developed a closed-form model that provides insight into how mentally effortful is it to learn a user interface layout relative to other user interface layouts. This closed-form model is an analytical approximation that is based on the declarative memory equations of ACT-R.

I obtained my PhD in Computer Science at York University, Toronto, Canada in October 2014. My doctoral research involved creation of cognitive models in the domain of Human-Computer Interaction. My doctoral dissertation advisor was Wolfgang Stuerzlinger. My external examiner was Frank E. Ritter. The title of my thesis was ACT-R Based Models For Learning Interactive Layouts. My PhD dissertation can be found here. I obtained my MSc in Computer Science at University of Windsor, Windsor, Canada in 1993. My MSc thesis advisor was Subir Bandyopadhyay. I obtained my bachelor degree, BTech (Honours) at Indian Institute of Technology, Kharagpur, India in 1991. After completing my MSc, I worked in the software industry for a while before starting my doctoral studies.

Email:  raj
[dot] das [dot] ca [at sign] gmail [dot] com

My Google Scholar Citations are here.

Selected Publications

Effect of Human Learning on Computer System Performance
Das, A., & Das, O. (2017). Novice to Expert continuum may affect System Response Time. 39th Annual Conference of the Cognitive Science Society (CogSci 2017), Poster presentation,  July 2017, London, UK.

Das, A., & Das, O. (2017).  Effect Of Human Learning On Performance Of Cloud Applications. 10th IEEE International Conference on Cloud Computing (CLOUD 2017), 778-781, June 2017, Hawaii, USA.

Cognitive Effort
Das, A., & Stuerzlinger, W. (2013). Unified Modeling of Proactive Interference and Memorization Effort: A new mathematical perspective within ACT-R theory, 35th Annual Conference of the Cognitive Science Society (CogSci 2013), 358-363, July-Aug 2013, Berlin, Germany.

Das, A., & Stuerzlinger, W. (2012). Comparing cognitive effort in spatial learning of text entry keyboards and ShapeWriters, International Working Conference on Advanced Visual Interfaces (AVI  2012), Poster paper, 649-652. May 2012, Capri Island, Italy.

Location Learning
Das, A., & Stuerzlinger, W. (2010). Proactive Interference in Location Learning: A New Closed-Form Approximation, International Conference on Cognitive Modeling (ICCM 2010), 37-42, Aug 2010, Philadelphia, USA.

Das, A., & Stuerzlinger, W. (2008). Modeling Learning Effects in Mobile Texting, International Conference on Mobile and Ubiquitous Multimedia  (MUM 2008), 154-161, Dec 2008, Umea, Sweden.

Das, A., & Stuerzlinger, W. (2007). A Cognitive Simulation Model for Novice Text Entry on Cell Phone Keypads, European Conference on Cognitive Ergonomics (ECCE 2007), 141-147, Aug 2007, London, UK.

My PhD Thesis: thesis(pdf)

My PhD Convocation Webcast: My PhD convocation was held in Ceremony #1 on Wednesday, October 15, 2014. I can be seen receiving my degree certificate in a webcast by York University, Toronto, Canada. I receive my degree certificate from the Chancellor of the University approximately between 47th and 48th minute of the webcast. To see the webcast, you may click here.